Senior AI Engineer

Randstad Technologies Recruitment; Greater London; À distance; GBP 83 000 - 165 000; Plein temps

Résumé du poste

Randstad Technologies Recruitment is seeking a Senior AI Engineer for a 3-month contract. The role is remote and aligned with UK or European time zones, enabling production-grade GenAI workflows and secure backend guardrails in enterprise settings.

You will design, build, and deploy GenAI solutions, work on data pipelines with AWS/Azure, and contribute to AI safety, prompt handling, and data sanitization across LLM workloads.

Qualifications

• 2-5 years' hands-on software/ML engineering experience delivering production AI solutions (no PhD required).
• Strong programming skills in Python (Java experience also accepted).
• Hands-on experience building GenAI applications, LLM workflows, and data pipelines.
• Cloud experience across AWS or Azure ecosystems along with data orchestration tools (e.g., Airflow).
• Practical understanding of AI safety, prompt injection handling, and PII/MNPI compliance guardrails.

Responsabilités

• AI Guardrails & Governance: Design and implement backend security guardrail capabilities to sanitize sensitive data (PII and MNPI) and prevent prompt injection risks in production LLM workflows.
• GenAI Workflows & Scalable Solutions: Build and deploy enterprise-level GenAI, ML, and deep learning solutions using Python or Java.
• Gen UI/UX & Frontend Integration: Design and implement user interfaces and frontends for AI guardrail requirements (~20-25% of the role).
• Cloud Infrastructure & Data Pipelines: Build with AWS and Azure services to construct ETL workflows and dynamic systems using orchestration platforms like Apache Airflow.
• Production Operations: Support production applications, maintain SLAs, and create continuous evaluation metrics for ML solution performance.

Connaissances

Python

Java

GenAI

LLM workflows

Data pipelines

AWS

Azure

Airflow

AI safety

PII/MNPI compliance

Outils

Airflow

Description du poste

Role: Senior AI Engineer

Type: 3‑Month Contract (ASAP Start)

Location: Remote (UK or European time zone match)

My client, a leading global financial institution, is seeking a Senior AI Engineer to join the AI Centre of Excellence within their Emerging Technology Group. Working on core enterprise initiatives, you will design, develop, and deploy production-grade Generative AI workflows and build critical backend security guardrails across the organisation.

Key Responsibilities

• AI Guardrails & Governance: Design and implement backend security guardrail capabilities to sanitize sensitive data (PII and MNPI) and prevent prompt injection risks in production LLM workflows.
• GenAI Workflows & Scalable Solutions: Build and deploy enterprise-level GenAI, ML, and deep learning solutions using Python or Java.
• Gen UI/UX & Frontend Integration: Design and implement user interfaces and frontends for AI guardrail requirements (~20-25% of the role).
• Cloud Infrastructure & Data Pipelines: Build with AWS and Azure services to construct ETL workflows and dynamic systems using orchestration platforms like Apache Airflow.
• Production Operations: Support production applications, maintain SLAs, and create continuous evaluation metrics for ML solution performance.

Qualifications & Skills

• 2-5 years' hands-on software/ML engineering experience delivering production AI solutions (no PhD required).
• Strong programming skills in Python (Java experience also accepted).
• Hands-on experience building GenAI applications, LLM workflows, and data pipelines.
• Cloud experience across AWS or Azure ecosystems along with data orchestration tools (e.g., Airflow).
• Practical understanding of AI safety, prompt injection handling, and PII/MNPI compliance guardrails.